Question

1. There are two basic types of factor analytic procedures, based on their overall intended function. They include:

1. Exploratory factor analysis.
2. Explanatory factor analysis.
3. Confirmatory factor analysis.
4. Both (a) and (b) are correct.

2. In exploratory factor analysis, the goal is to:

1. Describe data by grouping together variables that are correlated.
2. Summarize data by grouping together variables that are uncorrelated.
3. Describe and summarize data by grouping together variables that are correlated.
4. Test a theory about latent processes that might occur among variables.

3. Confirmatory factor analysis often used to:

1. Test a theory about underlying, unobservable processes that might occur among variables.
2. Confirm or disconfirm a theory post hoc.
3. Neither (a) nor (b).
4. Both (a) and (b).

4. It is recommended that the following two assumptions be evaluated and any necessary transformations be made to ensure the quality of data and improve the quality of the resulting factor or component solution:

1. All variables, as well as all linear combinations of variables, must be normally distributed.
2. The relationships among all variables must be linear.
3. The relationships among all pairs of variables must be linear.
4. Both (a) and (c) are correct.

5. The underlying, mathematical objective in principal components analysis is to obtain:

1. Correlated linear combinations of the original variables that account for as much of the total variance in the original variables as possible.
2. Uncorrelated linear combinations of the original variables that account for some of the total variance in the original variables.
3. Uncorrelated linear combinations of the original variables that account for as much of the total variance in the original variables as possible.

d. Uncorrelated combinations of the original variables that account for as much of the total variance in the original variables as possible.

Answer 1